IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
3c9881a
verified
{ | |
"config": { | |
"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": "b28613edd07775950ebcafe798ccfb9a5b1d3c5b", | |
"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 | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2533.699584, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.6660641749999741, | |
0.5302508410000257, | |
0.5617499929999781, | |
0.5552058319999844, | |
0.5410330729999941 | |
], | |
"count": 5, | |
"total": 2.8543039139999564, | |
"mean": 0.5708607827999913, | |
"p50": 0.5552058319999844, | |
"p90": 0.6243385021999757, | |
"p95": 0.6452013385999749, | |
"p99": 0.6618916077199742, | |
"stdev": 0.04884798768961488, | |
"stdev_": 8.556900239323223 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 17.51740582169862 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 0.00011781810806111159, | |
"ram": 4.927519604059766e-06, | |
"gpu": 0, | |
"total": 0.00012274562766517136 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 81469.29703498892 | |
} | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2533.699584, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.6660641749999741, | |
0.5302508410000257 | |
], | |
"count": 2, | |
"total": 1.1963150159999998, | |
"mean": 0.5981575079999999, | |
"p50": 0.5981575079999999, | |
"p90": 0.6524828415999793, | |
"p95": 0.6592735082999767, | |
"p99": 0.6647060416599746, | |
"stdev": 0.06790666699997416, | |
"stdev_": 11.352639746515424 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 6.68720185988203 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2533.699584, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.5617499929999781, | |
0.5552058319999844, | |
0.5410330729999941 | |
], | |
"count": 3, | |
"total": 1.6579888979999566, | |
"mean": 0.5526629659999855, | |
"p50": 0.5552058319999844, | |
"p90": 0.5604411607999793, | |
"p95": 0.5610955768999787, | |
"p99": 0.5616191097799782, | |
"stdev": 0.008646668691540352, | |
"stdev_": 1.5645464276577887 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 10.856526254013838 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |