Dataset Preview
Full Screen Viewer
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 620, 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 441, 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 1886, 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 639, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, 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 1417, 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 1049, 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 1000, 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 1741, 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 1897, 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.
config
dict | report
dict | name
string | backend
dict | scenario
dict | launcher
dict | environment
dict | print_report
bool | log_report
bool | overall
dict | warmup
dict | train
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|
{
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2519.744512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6863499510000111,
0.5503289600000016,
0.5707251910000082,
0.5524302560000365,
0.5464166680000062
],
"count": 5,
"total": 2.9062510260000636,
"mean": 0.5812502052000127,
"p50": 0.5524302560000365,
"p90": 0.6401000470000099,
"p95": 0.6632249990000104,
"p99": 0.681724960600011,
"stdev": 0.05321056414210851,
"stdev_": 9.154502427022514
},
"throughput": {
"unit": "samples/s",
"value": 17.20429500159733
},
"energy": {
"unit": "kWh",
"cpu": 0.00012068394508333333,
"ram": 0.000005047231533780827,
"gpu": 0,
"total": 0.00012573117661711416
},
"efficiency": {
"unit": "samples/kWh",
"value": 79534.76829738687
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2519.744512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6863499510000111,
0.5503289600000016
],
"count": 2,
"total": 1.2366789110000127,
"mean": 0.6183394555000064,
"p50": 0.6183394555000064,
"p90": 0.6727478519000101,
"p95": 0.6795489014500106,
"p99": 0.684989741090011,
"stdev": 0.06801049550000471,
"stdev_": 10.99889306675563
},
"throughput": {
"unit": "samples/s",
"value": 6.468938645950532
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2519.744512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5707251910000082,
0.5524302560000365,
0.5464166680000062
],
"count": 3,
"total": 1.6695721150000509,
"mean": 0.5565240383333503,
"p50": 0.5524302560000365,
"p90": 0.5670662040000138,
"p95": 0.568895697500011,
"p99": 0.5703592923000087,
"stdev": 0.010337483992887902,
"stdev_": 1.8575089808961478
},
"throughput": {
"unit": "samples/s",
"value": 10.781205458740818
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_fill-mask_google-bert/bert-base-uncased | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2519.744512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6863499510000111,
0.5503289600000016,
0.5707251910000082,
0.5524302560000365,
0.5464166680000062
],
"count": 5,
"total": 2.9062510260000636,
"mean": 0.5812502052000127,
"p50": 0.5524302560000365,
"p90": 0.6401000470000099,
"p95": 0.6632249990000104,
"p99": 0.681724960600011,
"stdev": 0.05321056414210851,
"stdev_": 9.154502427022514
},
"throughput": {
"unit": "samples/s",
"value": 17.20429500159733
},
"energy": {
"unit": "kWh",
"cpu": 0.00012068394508333333,
"ram": 0.000005047231533780827,
"gpu": 0,
"total": 0.00012573117661711416
},
"efficiency": {
"unit": "samples/kWh",
"value": 79534.76829738687
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2519.744512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6863499510000111,
0.5503289600000016
],
"count": 2,
"total": 1.2366789110000127,
"mean": 0.6183394555000064,
"p50": 0.6183394555000064,
"p90": 0.6727478519000101,
"p95": 0.6795489014500106,
"p99": 0.684989741090011,
"stdev": 0.06801049550000471,
"stdev_": 10.99889306675563
},
"throughput": {
"unit": "samples/s",
"value": 6.468938645950532
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2519.744512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5707251910000082,
0.5524302560000365,
0.5464166680000062
],
"count": 3,
"total": 1.6695721150000509,
"mean": 0.5565240383333503,
"p50": 0.5524302560000365,
"p90": 0.5670662040000138,
"p95": 0.568895697500011,
"p99": 0.5703592923000087,
"stdev": 0.010337483992887902,
"stdev_": 1.8575089808961478
},
"throughput": {
"unit": "samples/s",
"value": 10.781205458740818
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"model": "google-bert/bert-base-uncased",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2488.782848,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 2.738775005999969,
"mean": 0.5477550011999938,
"stdev": 0.03693447784258994,
"p50": 0.5307143729999666,
"p90": 0.5856752317999963,
"p95": 0.6036043034000045,
"p99": 0.6179475606800111,
"values": [
0.6215333750000127,
0.5307143729999666,
0.5270229210000252,
0.5276163199999928,
0.5318880169999716
]
},
"throughput": {
"unit": "samples/s",
"value": 18.25633719106628
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2488.782848,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.1522477479999793,
"mean": 0.5761238739999897,
"stdev": 0.045409501000023056,
"p50": 0.5761238739999897,
"p90": 0.612451474800008,
"p95": 0.6169924249000104,
"p99": 0.6206251849800123,
"values": [
0.6215333750000127,
0.5307143729999666
]
},
"throughput": {
"unit": "samples/s",
"value": 6.942951300088064
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2488.782848,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.5865272579999896,
"mean": 0.5288424193333299,
"stdev": 0.0021671455040491463,
"p50": 0.5276163199999928,
"p90": 0.5310336775999758,
"p95": 0.5314608472999737,
"p99": 0.531802583059972,
"values": [
0.5270229210000252,
0.5276163199999928,
0.5318880169999716
]
},
"throughput": {
"unit": "samples/s",
"value": 11.345534663357242
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"model": "hf-internal-testing/tiny-random-BertModel",
"processor": "hf-internal-testing/tiny-random-BertModel",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "7cec62e016d76fe612308e4c2c074fc7f09289fd",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 477.351936,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.01592566299999021,
0.012209281999986388,
0.012050035000015669,
0.01193647200000214,
0.012116388000009692
],
"count": 5,
"total": 0.0642378400000041,
"mean": 0.012847568000000819,
"p50": 0.012116388000009692,
"p90": 0.01443911059998868,
"p95": 0.015182386799989444,
"p99": 0.015777007759990056,
"stdev": 0.001541613235960306,
"stdev_": 11.999261151684177
},
"throughput": {
"unit": "samples/s",
"value": 778.357429203672
},
"energy": {
"unit": "kWh",
"cpu": 0.000008562100477777949,
"ram": 3.576500245353414e-7,
"gpu": 0,
"total": 0.00000891975050231329
},
"efficiency": {
"unit": "samples/kWh",
"value": 1121107.5912276418
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 477.351936,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.01592566299999021,
0.012209281999986388
],
"count": 2,
"total": 0.028134944999976597,
"mean": 0.014067472499988298,
"p50": 0.014067472499988298,
"p90": 0.015554024899989827,
"p95": 0.015739843949990017,
"p99": 0.01588849918999017,
"stdev": 0.0018581905000019106,
"stdev_": 13.209128363346409
},
"throughput": {
"unit": "samples/s",
"value": 284.34390044148495
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 477.351936,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.012050035000015669,
0.01193647200000214,
0.012116388000009692
],
"count": 3,
"total": 0.0361028950000275,
"mean": 0.0120342983333425,
"p50": 0.012050035000015669,
"p90": 0.012103117400010887,
"p95": 0.01210975270001029,
"p99": 0.012115060940009812,
"stdev": 0.00007428850863655893,
"stdev_": 0.6173065232289738
},
"throughput": {
"unit": "samples/s",
"value": 498.5749757737237
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"model": "hf-internal-testing/tiny-random-BertModel",
"processor": "hf-internal-testing/tiny-random-BertModel",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "7cec62e016d76fe612308e4c2c074fc7f09289fd",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 477.351936,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.01592566299999021,
0.012209281999986388,
0.012050035000015669,
0.01193647200000214,
0.012116388000009692
],
"count": 5,
"total": 0.0642378400000041,
"mean": 0.012847568000000819,
"p50": 0.012116388000009692,
"p90": 0.01443911059998868,
"p95": 0.015182386799989444,
"p99": 0.015777007759990056,
"stdev": 0.001541613235960306,
"stdev_": 11.999261151684177
},
"throughput": {
"unit": "samples/s",
"value": 778.357429203672
},
"energy": {
"unit": "kWh",
"cpu": 0.000008562100477777949,
"ram": 3.576500245353414e-7,
"gpu": 0,
"total": 0.00000891975050231329
},
"efficiency": {
"unit": "samples/kWh",
"value": 1121107.5912276418
}
} | {
"memory": {
"unit": "MB",
"max_ram": 477.351936,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.01592566299999021,
0.012209281999986388
],
"count": 2,
"total": 0.028134944999976597,
"mean": 0.014067472499988298,
"p50": 0.014067472499988298,
"p90": 0.015554024899989827,
"p95": 0.015739843949990017,
"p99": 0.01588849918999017,
"stdev": 0.0018581905000019106,
"stdev_": 13.209128363346409
},
"throughput": {
"unit": "samples/s",
"value": 284.34390044148495
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 477.351936,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.012050035000015669,
0.01193647200000214,
0.012116388000009692
],
"count": 3,
"total": 0.0361028950000275,
"mean": 0.0120342983333425,
"p50": 0.012050035000015669,
"p90": 0.012103117400010887,
"p95": 0.01210975270001029,
"p99": 0.012115060940009812,
"stdev": 0.00007428850863655893,
"stdev_": 0.6173065232289738
},
"throughput": {
"unit": "samples/s",
"value": 498.5749757737237
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model_type": "vit",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2503.512064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6716150309999875,
1.5119543120000003,
1.5309882200000402,
1.5602752419999888,
1.5229964970000083
],
"count": 5,
"total": 7.797829302000025,
"mean": 1.559565860400005,
"p50": 1.5309882200000402,
"p90": 1.627079115399988,
"p95": 1.6493470731999877,
"p99": 1.6671614394399876,
"stdev": 0.058268995642202545,
"stdev_": 3.736231801538502
},
"throughput": {
"unit": "samples/s",
"value": 6.412040846697652
},
"energy": {
"unit": "kWh",
"cpu": 0.0003162784703944444,
"ram": 0.000013228306043901064,
"gpu": 0,
"total": 0.00032950677643834545
},
"efficiency": {
"unit": "samples/kWh",
"value": 30348.38951747967
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2503.512064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6716150309999875,
1.5119543120000003
],
"count": 2,
"total": 3.183569342999988,
"mean": 1.591784671499994,
"p50": 1.591784671499994,
"p90": 1.6556489590999888,
"p95": 1.6636319950499883,
"p99": 1.6700184238099878,
"stdev": 0.07983035949999362,
"stdev_": 5.015148149703358
},
"throughput": {
"unit": "samples/s",
"value": 2.5129027007344287
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2503.512064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.5309882200000402,
1.5602752419999888,
1.5229964970000083
],
"count": 3,
"total": 4.614259959000037,
"mean": 1.5380866530000123,
"p50": 1.5309882200000402,
"p90": 1.554417837599999,
"p95": 1.557346539799994,
"p99": 1.5596895015599899,
"stdev": 0.016025334535971766,
"stdev_": 1.0419006305473504
},
"throughput": {
"unit": "samples/s",
"value": 3.9009505662747284
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_image-classification_google/vit-base-patch16-224 | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model_type": "vit",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2503.512064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6716150309999875,
1.5119543120000003,
1.5309882200000402,
1.5602752419999888,
1.5229964970000083
],
"count": 5,
"total": 7.797829302000025,
"mean": 1.559565860400005,
"p50": 1.5309882200000402,
"p90": 1.627079115399988,
"p95": 1.6493470731999877,
"p99": 1.6671614394399876,
"stdev": 0.058268995642202545,
"stdev_": 3.736231801538502
},
"throughput": {
"unit": "samples/s",
"value": 6.412040846697652
},
"energy": {
"unit": "kWh",
"cpu": 0.0003162784703944444,
"ram": 0.000013228306043901064,
"gpu": 0,
"total": 0.00032950677643834545
},
"efficiency": {
"unit": "samples/kWh",
"value": 30348.38951747967
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2503.512064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6716150309999875,
1.5119543120000003
],
"count": 2,
"total": 3.183569342999988,
"mean": 1.591784671499994,
"p50": 1.591784671499994,
"p90": 1.6556489590999888,
"p95": 1.6636319950499883,
"p99": 1.6700184238099878,
"stdev": 0.07983035949999362,
"stdev_": 5.015148149703358
},
"throughput": {
"unit": "samples/s",
"value": 2.5129027007344287
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2503.512064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.5309882200000402,
1.5602752419999888,
1.5229964970000083
],
"count": 3,
"total": 4.614259959000037,
"mean": 1.5380866530000123,
"p50": 1.5309882200000402,
"p90": 1.554417837599999,
"p95": 1.557346539799994,
"p99": 1.5596895015599899,
"stdev": 0.016025334535971766,
"stdev_": 1.0419006305473504
},
"throughput": {
"unit": "samples/s",
"value": 3.9009505662747284
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"model": "google/vit-base-patch16-224",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2442.985472,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 7.2970974209999895,
"mean": 1.459419484199998,
"stdev": 0.05210139006345095,
"p50": 1.4401334369999859,
"p90": 1.521250764199999,
"p95": 1.5379663595999886,
"p99": 1.5513388359199802,
"values": [
1.5546819549999782,
1.4241662819999874,
1.4401334369999859,
1.4711039780000306,
1.4070117690000075
]
},
"throughput": {
"unit": "samples/s",
"value": 6.852039532336137
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2442.985472,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 2.9788482369999656,
"mean": 1.4894241184999828,
"stdev": 0.06525783649999539,
"p50": 1.4894241184999828,
"p90": 1.541630387699979,
"p95": 1.5481561713499787,
"p99": 1.5533767982699782,
"values": [
1.5546819549999782,
1.4241662819999874
]
},
"throughput": {
"unit": "samples/s",
"value": 2.6856017371522416
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2442.985472,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 4.318249184000024,
"mean": 1.4394163946666747,
"stdev": 0.02617044676610726,
"p50": 1.4401334369999859,
"p90": 1.4649098698000216,
"p95": 1.4680069239000262,
"p99": 1.4704845671800297,
"values": [
1.4401334369999859,
1.4711039780000306,
1.4070117690000075
]
},
"throughput": {
"unit": "samples/s",
"value": 4.1683560241714614
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2909.048832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8422577439999941,
0.7105179889999818,
0.7316318399999773,
0.7052919429999633,
0.7076670829999898
],
"count": 5,
"total": 3.6973665989999063,
"mean": 0.7394733197999812,
"p50": 0.7105179889999818,
"p90": 0.7980073823999874,
"p95": 0.8201325631999907,
"p99": 0.8378327078399934,
"stdev": 0.05223895302289545,
"stdev_": 7.064345882962413
},
"throughput": {
"unit": "samples/s",
"value": 13.523138336762281
},
"energy": {
"unit": "kWh",
"cpu": 0.00015092970748333288,
"ram": 0.000006312406346927238,
"gpu": 0,
"total": 0.00015724211383026011
},
"efficiency": {
"unit": "samples/kWh",
"value": 63596.19415187213
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2909.048832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8422577439999941,
0.7105179889999818
],
"count": 2,
"total": 1.5527757329999758,
"mean": 0.7763878664999879,
"p50": 0.7763878664999879,
"p90": 0.8290837684999929,
"p95": 0.8356707562499934,
"p99": 0.8409403464499939,
"stdev": 0.06586987750000617,
"stdev_": 8.484145662522046
},
"throughput": {
"unit": "samples/s",
"value": 5.152064029583933
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2909.048832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7316318399999773,
0.7052919429999633,
0.7076670829999898
],
"count": 3,
"total": 2.1445908659999304,
"mean": 0.7148636219999768,
"p50": 0.7076670829999898,
"p90": 0.7268388885999798,
"p95": 0.7292353642999785,
"p99": 0.7311525448599775,
"stdev": 0.011896502950491687,
"stdev_": 1.6641639865809361
},
"throughput": {
"unit": "samples/s",
"value": 8.393209299437808
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_multiple-choice_FacebookAI/roberta-base | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2909.048832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8422577439999941,
0.7105179889999818,
0.7316318399999773,
0.7052919429999633,
0.7076670829999898
],
"count": 5,
"total": 3.6973665989999063,
"mean": 0.7394733197999812,
"p50": 0.7105179889999818,
"p90": 0.7980073823999874,
"p95": 0.8201325631999907,
"p99": 0.8378327078399934,
"stdev": 0.05223895302289545,
"stdev_": 7.064345882962413
},
"throughput": {
"unit": "samples/s",
"value": 13.523138336762281
},
"energy": {
"unit": "kWh",
"cpu": 0.00015092970748333288,
"ram": 0.000006312406346927238,
"gpu": 0,
"total": 0.00015724211383026011
},
"efficiency": {
"unit": "samples/kWh",
"value": 63596.19415187213
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2909.048832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8422577439999941,
0.7105179889999818
],
"count": 2,
"total": 1.5527757329999758,
"mean": 0.7763878664999879,
"p50": 0.7763878664999879,
"p90": 0.8290837684999929,
"p95": 0.8356707562499934,
"p99": 0.8409403464499939,
"stdev": 0.06586987750000617,
"stdev_": 8.484145662522046
},
"throughput": {
"unit": "samples/s",
"value": 5.152064029583933
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2909.048832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7316318399999773,
0.7052919429999633,
0.7076670829999898
],
"count": 3,
"total": 2.1445908659999304,
"mean": 0.7148636219999768,
"p50": 0.7076670829999898,
"p90": 0.7268388885999798,
"p95": 0.7292353642999785,
"p99": 0.7311525448599775,
"stdev": 0.011896502950491687,
"stdev_": 1.6641639865809361
},
"throughput": {
"unit": "samples/s",
"value": 8.393209299437808
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2845.749248,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.581090587999995,
"mean": 0.716218117599999,
"stdev": 0.043372798377969854,
"p50": 0.697155070000008,
"p90": 0.7645524997999928,
"p95": 0.7826806403999967,
"p99": 0.7971831528799999,
"values": [
0.8008087810000006,
0.710168077999981,
0.6928677590000234,
0.697155070000008,
0.680090899999982
]
},
"throughput": {
"unit": "samples/s",
"value": 13.962227084549829
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2845.749248,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.5109768589999817,
"mean": 0.7554884294999908,
"stdev": 0.04532035150000979,
"p50": 0.7554884294999908,
"p90": 0.7917447106999986,
"p95": 0.7962767458499996,
"p99": 0.7999023739700004,
"values": [
0.8008087810000006,
0.710168077999981
]
},
"throughput": {
"unit": "samples/s",
"value": 5.294588035778844
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2845.749248,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 2.0701137290000133,
"mean": 0.6900379096666711,
"stdev": 0.007248103654729414,
"p50": 0.6928677590000234,
"p90": 0.696297607800011,
"p95": 0.6967263389000096,
"p99": 0.6970693237800083,
"values": [
0.6928677590000234,
0.697155070000008,
0.680090899999982
]
},
"throughput": {
"unit": "samples/s",
"value": 8.695174447587021
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2841.86624,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7184868769999753,
0.5956158320000213,
0.5611470650000001,
0.6053455429999985,
0.5643365999999901
],
"count": 5,
"total": 3.0449319169999853,
"mean": 0.6089863833999971,
"p50": 0.5956158320000213,
"p90": 0.6732303433999846,
"p95": 0.6958586101999799,
"p99": 0.7139612236399762,
"stdev": 0.057383950726384025,
"stdev_": 9.422862692923767
},
"throughput": {
"unit": "samples/s",
"value": 16.42072839817792
},
"energy": {
"unit": "kWh",
"cpu": 0.00012582436187222188,
"ram": 0.0000052623983356353215,
"gpu": 0,
"total": 0.0001310867602078572
},
"efficiency": {
"unit": "samples/kWh",
"value": 76285.35470816075
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2841.86624,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7184868769999753,
0.5956158320000213
],
"count": 2,
"total": 1.3141027089999966,
"mean": 0.6570513544999983,
"p50": 0.6570513544999983,
"p90": 0.7061997724999799,
"p95": 0.7123433247499775,
"p99": 0.7172581665499758,
"stdev": 0.06143552249997697,
"stdev_": 9.350185808037494
},
"throughput": {
"unit": "samples/s",
"value": 6.087804206786717
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2841.86624,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5611470650000001,
0.6053455429999985,
0.5643365999999901
],
"count": 3,
"total": 1.7308292079999887,
"mean": 0.5769430693333296,
"p50": 0.5643365999999901,
"p90": 0.5971437543999969,
"p95": 0.6012446486999977,
"p99": 0.6045253641399984,
"stdev": 0.020125749115141166,
"stdev_": 3.4883422966492885
},
"throughput": {
"unit": "samples/s",
"value": 10.399639615973083
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_text-classification_FacebookAI/roberta-base | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2841.86624,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7184868769999753,
0.5956158320000213,
0.5611470650000001,
0.6053455429999985,
0.5643365999999901
],
"count": 5,
"total": 3.0449319169999853,
"mean": 0.6089863833999971,
"p50": 0.5956158320000213,
"p90": 0.6732303433999846,
"p95": 0.6958586101999799,
"p99": 0.7139612236399762,
"stdev": 0.057383950726384025,
"stdev_": 9.422862692923767
},
"throughput": {
"unit": "samples/s",
"value": 16.42072839817792
},
"energy": {
"unit": "kWh",
"cpu": 0.00012582436187222188,
"ram": 0.0000052623983356353215,
"gpu": 0,
"total": 0.0001310867602078572
},
"efficiency": {
"unit": "samples/kWh",
"value": 76285.35470816075
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2841.86624,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7184868769999753,
0.5956158320000213
],
"count": 2,
"total": 1.3141027089999966,
"mean": 0.6570513544999983,
"p50": 0.6570513544999983,
"p90": 0.7061997724999799,
"p95": 0.7123433247499775,
"p99": 0.7172581665499758,
"stdev": 0.06143552249997697,
"stdev_": 9.350185808037494
},
"throughput": {
"unit": "samples/s",
"value": 6.087804206786717
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2841.86624,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5611470650000001,
0.6053455429999985,
0.5643365999999901
],
"count": 3,
"total": 1.7308292079999887,
"mean": 0.5769430693333296,
"p50": 0.5643365999999901,
"p90": 0.5971437543999969,
"p95": 0.6012446486999977,
"p99": 0.6045253641399984,
"stdev": 0.020125749115141166,
"stdev_": 3.4883422966492885
},
"throughput": {
"unit": "samples/s",
"value": 10.399639615973083
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2826.752,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 2.882509665999976,
"mean": 0.5765019331999952,
"stdev": 0.04978939696949581,
"p50": 0.5569985249999831,
"p90": 0.6300386333999881,
"p95": 0.6525100941999881,
"p99": 0.670487262839988,
"values": [
0.674981554999988,
0.5569985249999831,
0.5424031590000027,
0.5626242509999884,
0.5455021760000136
]
},
"throughput": {
"unit": "samples/s",
"value": 17.34599560576128
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2826.752,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.2319800799999712,
"mean": 0.6159900399999856,
"stdev": 0.05899151500000244,
"p50": 0.6159900399999856,
"p90": 0.6631832519999875,
"p95": 0.6690824034999878,
"p99": 0.673801724699988,
"values": [
0.674981554999988,
0.5569985249999831
]
},
"throughput": {
"unit": "samples/s",
"value": 6.493611487614465
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2826.752,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.6505295860000047,
"mean": 0.5501765286666682,
"stdev": 0.00889233078021606,
"p50": 0.5455021760000136,
"p90": 0.5591998359999935,
"p95": 0.5609120434999909,
"p99": 0.5622818094999888,
"values": [
0.5424031590000027,
0.5626242509999884,
0.5455021760000136
]
},
"throughput": {
"unit": "samples/s",
"value": 10.905590637500968
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"model": "hf-internal-testing/tiny-random-LlamaForCausalLM",
"processor": "hf-internal-testing/tiny-random-LlamaForCausalLM",
"task": "text-generation",
"library": "transformers",
"model_type": "llama",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "7cec62e016d76fe612308e4c2c074fc7f09289fd",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 522.866688,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.019453390999984776,
0.012075559000010117,
0.011965802999981179,
0.011934053999993921,
0.011987785000002305
],
"count": 5,
"total": 0.0674165919999723,
"mean": 0.013483318399994459,
"p50": 0.011987785000002305,
"p90": 0.016502258199994912,
"p95": 0.017977824599989842,
"p99": 0.01915827771998579,
"stdev": 0.0029854060594256856,
"stdev_": 22.141478609797662
},
"throughput": {
"unit": "samples/s",
"value": 741.6571872992415
},
"energy": {
"unit": "kWh",
"cpu": 0.000008703254777777798,
"ram": 3.635053251718738e-7,
"gpu": 0,
"total": 0.000009066760102949672
},
"efficiency": {
"unit": "samples/kWh",
"value": 1102929.8102578802
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 522.866688,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.019453390999984776,
0.012075559000010117
],
"count": 2,
"total": 0.03152894999999489,
"mean": 0.015764474999997447,
"p50": 0.015764474999997447,
"p90": 0.01871560779998731,
"p95": 0.019084499399986042,
"p99": 0.01937961267998503,
"stdev": 0.00368891599998733,
"stdev_": 23.400183006334988
},
"throughput": {
"unit": "samples/s",
"value": 253.73505936611576
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 522.866688,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.011965802999981179,
0.011934053999993921,
0.011987785000002305
],
"count": 3,
"total": 0.035887641999977404,
"mean": 0.011962547333325801,
"p50": 0.011965802999981179,
"p90": 0.01198338859999808,
"p95": 0.011985586800000192,
"p99": 0.011987345360001882,
"stdev": 0.000022056059099537384,
"stdev_": 0.184375940048259
},
"throughput": {
"unit": "samples/s",
"value": 501.56541352065796
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"model": "hf-internal-testing/tiny-random-LlamaForCausalLM",
"processor": "hf-internal-testing/tiny-random-LlamaForCausalLM",
"task": "text-generation",
"library": "transformers",
"model_type": "llama",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "7cec62e016d76fe612308e4c2c074fc7f09289fd",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 522.866688,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.019453390999984776,
0.012075559000010117,
0.011965802999981179,
0.011934053999993921,
0.011987785000002305
],
"count": 5,
"total": 0.0674165919999723,
"mean": 0.013483318399994459,
"p50": 0.011987785000002305,
"p90": 0.016502258199994912,
"p95": 0.017977824599989842,
"p99": 0.01915827771998579,
"stdev": 0.0029854060594256856,
"stdev_": 22.141478609797662
},
"throughput": {
"unit": "samples/s",
"value": 741.6571872992415
},
"energy": {
"unit": "kWh",
"cpu": 0.000008703254777777798,
"ram": 3.635053251718738e-7,
"gpu": 0,
"total": 0.000009066760102949672
},
"efficiency": {
"unit": "samples/kWh",
"value": 1102929.8102578802
}
} | {
"memory": {
"unit": "MB",
"max_ram": 522.866688,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.019453390999984776,
0.012075559000010117
],
"count": 2,
"total": 0.03152894999999489,
"mean": 0.015764474999997447,
"p50": 0.015764474999997447,
"p90": 0.01871560779998731,
"p95": 0.019084499399986042,
"p99": 0.01937961267998503,
"stdev": 0.00368891599998733,
"stdev_": 23.400183006334988
},
"throughput": {
"unit": "samples/s",
"value": 253.73505936611576
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 522.866688,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.011965802999981179,
0.011934053999993921,
0.011987785000002305
],
"count": 3,
"total": 0.035887641999977404,
"mean": 0.011962547333325801,
"p50": 0.011965802999981179,
"p90": 0.01198338859999808,
"p95": 0.011985586800000192,
"p99": 0.011987345360001882,
"stdev": 0.000022056059099537384,
"stdev_": 0.184375940048259
},
"throughput": {
"unit": "samples/s",
"value": 501.56541352065796
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_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": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2837.745664,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7413827390000165,
0.6272131300000012,
0.6310885370000108,
0.6182816500000001,
0.6157634749999943
],
"count": 5,
"total": 3.233729531000023,
"mean": 0.6467459062000046,
"p50": 0.6272131300000012,
"p90": 0.6972650582000142,
"p95": 0.7193238986000153,
"p99": 0.7369709709200163,
"stdev": 0.0476506822676121,
"stdev_": 7.367759395275746
},
"throughput": {
"unit": "samples/s",
"value": 15.462022881220255
},
"energy": {
"unit": "kWh",
"cpu": 0.0001328167573444445,
"ram": 0.000005554786473157777,
"gpu": 0,
"total": 0.00013837154381760226
},
"efficiency": {
"unit": "samples/kWh",
"value": 72269.19440301784
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2837.745664,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7413827390000165,
0.6272131300000012
],
"count": 2,
"total": 1.3685958690000177,
"mean": 0.6842979345000089,
"p50": 0.6842979345000089,
"p90": 0.729965778100015,
"p95": 0.7356742585500158,
"p99": 0.7402410429100164,
"stdev": 0.057084804500007635,
"stdev_": 8.342098028063958
},
"throughput": {
"unit": "samples/s",
"value": 5.845407092924592
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2837.745664,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6310885370000108,
0.6182816500000001,
0.6157634749999943
],
"count": 3,
"total": 1.8651336620000052,
"mean": 0.6217112206666684,
"p50": 0.6182816500000001,
"p90": 0.6285271596000086,
"p95": 0.6298078483000097,
"p99": 0.6308323992600106,
"stdev": 0.006709984974863501,
"stdev_": 1.0792768011599185
},
"throughput": {
"unit": "samples/s",
"value": 9.650782872418047
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_text-generation_openai-community/gpt2 | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_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": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2837.745664,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7413827390000165,
0.6272131300000012,
0.6310885370000108,
0.6182816500000001,
0.6157634749999943
],
"count": 5,
"total": 3.233729531000023,
"mean": 0.6467459062000046,
"p50": 0.6272131300000012,
"p90": 0.6972650582000142,
"p95": 0.7193238986000153,
"p99": 0.7369709709200163,
"stdev": 0.0476506822676121,
"stdev_": 7.367759395275746
},
"throughput": {
"unit": "samples/s",
"value": 15.462022881220255
},
"energy": {
"unit": "kWh",
"cpu": 0.0001328167573444445,
"ram": 0.000005554786473157777,
"gpu": 0,
"total": 0.00013837154381760226
},
"efficiency": {
"unit": "samples/kWh",
"value": 72269.19440301784
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2837.745664,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7413827390000165,
0.6272131300000012
],
"count": 2,
"total": 1.3685958690000177,
"mean": 0.6842979345000089,
"p50": 0.6842979345000089,
"p90": 0.729965778100015,
"p95": 0.7356742585500158,
"p99": 0.7402410429100164,
"stdev": 0.057084804500007635,
"stdev_": 8.342098028063958
},
"throughput": {
"unit": "samples/s",
"value": 5.845407092924592
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2837.745664,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6310885370000108,
0.6182816500000001,
0.6157634749999943
],
"count": 3,
"total": 1.8651336620000052,
"mean": 0.6217112206666684,
"p50": 0.6182816500000001,
"p90": 0.6285271596000086,
"p95": 0.6298078483000097,
"p99": 0.6308323992600106,
"stdev": 0.006709984974863501,
"stdev_": 1.0792768011599185
},
"throughput": {
"unit": "samples/s",
"value": 9.650782872418047
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "openai-community/gpt2",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2827.354112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.1791685380000274,
"mean": 0.6358337076000055,
"stdev": 0.07846941233493662,
"p50": 0.596941285000014,
"p90": 0.7161873142000047,
"p95": 0.7544328206000045,
"p99": 0.7850292257200044,
"values": [
0.7926783270000044,
0.6014507950000052,
0.596941285000014,
0.593667699000008,
0.5944304319999958
]
},
"throughput": {
"unit": "samples/s",
"value": 15.727382616668173
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2827.354112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.3941291220000096,
"mean": 0.6970645610000048,
"stdev": 0.0956137659999996,
"p50": 0.6970645610000048,
"p90": 0.7735555738000045,
"p95": 0.7831169504000044,
"p99": 0.7907660516800044,
"values": [
0.7926783270000044,
0.6014507950000052
]
},
"throughput": {
"unit": "samples/s",
"value": 5.738349392288174
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2827.354112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.7850394160000178,
"mean": 0.5950131386666726,
"stdev": 0.0013985114990352936,
"p50": 0.5944304319999958,
"p90": 0.5964391144000103,
"p95": 0.5966901997000121,
"p99": 0.5968910679400136,
"values": [
0.596941285000014,
0.593667699000008,
0.5944304319999958
]
},
"throughput": {
"unit": "samples/s",
"value": 10.083810944822195
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 4362.715136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.3893911569999773,
1.1545377269999904,
1.156441610999991,
1.1526474670000084,
1.1748442610000325
],
"count": 5,
"total": 6.027862223,
"mean": 1.2055724446,
"p50": 1.156441610999991,
"p90": 1.3035723985999994,
"p95": 1.3464817777999882,
"p99": 1.3808092811599795,
"stdev": 0.09225288587403972,
"stdev_": 7.652205911578259
},
"throughput": {
"unit": "samples/s",
"value": 8.294814670650444
},
"energy": {
"unit": "kWh",
"cpu": 0.00024157405844444467,
"ram": 0.00001010374289347771,
"gpu": 0,
"total": 0.00025167780133792235
},
"efficiency": {
"unit": "samples/kWh",
"value": 39733.34138664544
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 4362.715136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.3893911569999773,
1.1545377269999904
],
"count": 2,
"total": 2.5439288839999676,
"mean": 1.2719644419999838,
"p50": 1.2719644419999838,
"p90": 1.3659058139999787,
"p95": 1.377648485499978,
"p99": 1.3870426226999775,
"stdev": 0.11742671499999346,
"stdev_": 9.231918057029691
},
"throughput": {
"unit": "samples/s",
"value": 3.1447419974339588
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 4362.715136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.156441610999991,
1.1526474670000084,
1.1748442610000325
],
"count": 3,
"total": 3.483933339000032,
"mean": 1.1613111130000107,
"p50": 1.156441610999991,
"p90": 1.1711637310000242,
"p95": 1.1730039960000282,
"p99": 1.1744762080000317,
"stdev": 0.009693931203456517,
"stdev_": 0.834740242725674
},
"throughput": {
"unit": "samples/s",
"value": 5.16657417020683
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_token-classification_microsoft/deberta-v3-base | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 4362.715136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.3893911569999773,
1.1545377269999904,
1.156441610999991,
1.1526474670000084,
1.1748442610000325
],
"count": 5,
"total": 6.027862223,
"mean": 1.2055724446,
"p50": 1.156441610999991,
"p90": 1.3035723985999994,
"p95": 1.3464817777999882,
"p99": 1.3808092811599795,
"stdev": 0.09225288587403972,
"stdev_": 7.652205911578259
},
"throughput": {
"unit": "samples/s",
"value": 8.294814670650444
},
"energy": {
"unit": "kWh",
"cpu": 0.00024157405844444467,
"ram": 0.00001010374289347771,
"gpu": 0,
"total": 0.00025167780133792235
},
"efficiency": {
"unit": "samples/kWh",
"value": 39733.34138664544
}
} | {
"memory": {
"unit": "MB",
"max_ram": 4362.715136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.3893911569999773,
1.1545377269999904
],
"count": 2,
"total": 2.5439288839999676,
"mean": 1.2719644419999838,
"p50": 1.2719644419999838,
"p90": 1.3659058139999787,
"p95": 1.377648485499978,
"p99": 1.3870426226999775,
"stdev": 0.11742671499999346,
"stdev_": 9.231918057029691
},
"throughput": {
"unit": "samples/s",
"value": 3.1447419974339588
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 4362.715136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.156441610999991,
1.1526474670000084,
1.1748442610000325
],
"count": 3,
"total": 3.483933339000032,
"mean": 1.1613111130000107,
"p50": 1.156441610999991,
"p90": 1.1711637310000242,
"p95": 1.1730039960000282,
"p99": 1.1744762080000317,
"stdev": 0.009693931203456517,
"stdev_": 0.834740242725674
},
"throughput": {
"unit": "samples/s",
"value": 5.16657417020683
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"model": "microsoft/deberta-v3-base",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 5.583659903000068,
"mean": 1.1167319806000138,
"stdev": 0.07853258776030796,
"p50": 1.0731834320000075,
"p90": 1.2025418994000006,
"p95": 1.2374836681999908,
"p99": 1.265437083239983,
"values": [
1.2724254369999812,
1.0731834320000075,
1.0977165930000297,
1.0711078369999996,
1.0692266040000504
]
},
"throughput": {
"unit": "samples/s",
"value": 8.954700119385008
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 2.3456088689999888,
"mean": 1.1728044344999944,
"stdev": 0.09962100249998684,
"p50": 1.1728044344999944,
"p90": 1.252501236499984,
"p95": 1.2624633367499825,
"p99": 1.2704330169499816,
"values": [
1.2724254369999812,
1.0731834320000075
]
},
"throughput": {
"unit": "samples/s",
"value": 3.4106283045436583
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 3.2380510340000797,
"mean": 1.0793503446666932,
"stdev": 0.01300958794585394,
"p50": 1.0711078369999996,
"p90": 1.0923948418000236,
"p95": 1.0950557174000266,
"p99": 1.097184417880029,
"values": [
1.0977165930000297,
1.0711078369999996,
1.0692266040000504
]
},
"throughput": {
"unit": "samples/s",
"value": 5.558899415419021
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
No dataset card yet
- Downloads last month
- 2,883