IlyasMoutawwakil's picture
Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
4064054 verified
raw
history blame
No virus
7.06 kB
{
"config": {
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "6ad94507b5a05ceef8e5c33b1b3e8110ab062b31",
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2498.629632,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.038504821999936,
"mean": 0.6077009643999872,
"stdev": 0.10095938137938967,
"p50": 0.5605479529999684,
"p90": 0.7103097122000008,
"p95": 0.7599049666000042,
"p99": 0.7995811701200068,
"values": [
0.8095002210000075,
0.5605479529999684,
0.5615239489999908,
0.5523408860000245,
0.554591812999945
]
},
"throughput": {
"unit": "samples/s",
"value": 16.455461790937733
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2498.629632,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.370048173999976,
"mean": 0.685024086999988,
"stdev": 0.12447613400001956,
"p50": 0.685024086999988,
"p90": 0.7846049942000036,
"p95": 0.7970526076000055,
"p99": 0.8070106983200072,
"values": [
0.8095002210000075,
0.5605479529999684
]
},
"throughput": {
"unit": "samples/s",
"value": 5.8392107312864026
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2498.629632,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.6684566479999603,
"mean": 0.5561522159999868,
"stdev": 0.003907966620229507,
"p50": 0.554591812999945,
"p90": 0.5601375217999817,
"p95": 0.5608307353999862,
"p99": 0.5613853062799898,
"values": [
0.5615239489999908,
0.5523408860000245,
0.554591812999945
]
},
"throughput": {
"unit": "samples/s",
"value": 10.78841336487661
},
"energy": null,
"efficiency": null
}
}
}