IlyasMoutawwakil's picture
Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
e9e018b verified
raw
history blame
7.54 kB
{
"config": {
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.1+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": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "0876a1b3ff6de017d3dc76fabb58b5a1d2aecb9e",
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2505.408512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6992714609999666,
0.562244604,
0.5700927389999606,
0.5545295950000195,
0.5680203809999966
],
"count": 5,
"total": 2.9541587799999434,
"mean": 0.5908317559999887,
"p50": 0.5680203809999966,
"p90": 0.6475999721999642,
"p95": 0.6734357165999654,
"p99": 0.6941043121199664,
"stdev": 0.05448799395965701,
"stdev_": 9.222252088910748
},
"throughput": {
"unit": "samples/s",
"value": 16.92529201155564
},
"energy": {
"unit": "kWh",
"cpu": 0.0001275973666722226,
"ram": 5.336418005480525e-06,
"gpu": 0,
"total": 0.00013293378467770314
},
"efficiency": {
"unit": "samples/kWh",
"value": 75225.42162058289
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2505.408512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6992714609999666,
0.562244604
],
"count": 2,
"total": 1.2615160649999666,
"mean": 0.6307580324999833,
"p50": 0.6307580324999833,
"p90": 0.68556877529997,
"p95": 0.6924201181499683,
"p99": 0.697901192429967,
"stdev": 0.06851342849998332,
"stdev_": 10.862077844404643
},
"throughput": {
"unit": "samples/s",
"value": 6.341575998875775
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2505.408512,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5700927389999606,
0.5545295950000195,
0.5680203809999966
],
"count": 3,
"total": 1.6926427149999768,
"mean": 0.5642142383333256,
"p50": 0.5680203809999966,
"p90": 0.5696782673999679,
"p95": 0.5698855031999642,
"p99": 0.5700512918399613,
"stdev": 0.006900140302439066,
"stdev_": 1.222964582181035
},
"throughput": {
"unit": "samples/s",
"value": 10.634258393981417
},
"energy": null,
"efficiency": null
}
}
}