IlyasMoutawwakil's picture
Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
7accb80 verified
raw
history blame
7.56 kB
{
"config": {
"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": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "1af9eb008cb7e5a73696ea580f926b32aa726d12",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2883.268608,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8105243819999828,
0.7012540700000045,
0.687432618999992,
0.6960525160000088,
0.6887317850000159
],
"count": 5,
"total": 3.583995372000004,
"mean": 0.7167990744000008,
"p50": 0.6960525160000088,
"p90": 0.7668162571999915,
"p95": 0.7886703195999871,
"p99": 0.8061535695199836,
"stdev": 0.047131012229687234,
"stdev_": 6.575205509178206
},
"throughput": {
"unit": "samples/s",
"value": 13.950910871879314
},
"energy": {
"unit": "kWh",
"cpu": 0.0001464909844611122,
"ram": 6.123233711293927e-06,
"gpu": 0,
"total": 0.00015261421817240614
},
"efficiency": {
"unit": "samples/kWh",
"value": 65524.694355169064
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2883.268608,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8105243819999828,
0.7012540700000045
],
"count": 2,
"total": 1.5117784519999873,
"mean": 0.7558892259999936,
"p50": 0.7558892259999936,
"p90": 0.799597350799985,
"p95": 0.8050608663999839,
"p99": 0.809431678879983,
"stdev": 0.05463515599998914,
"stdev_": 7.227931569961231
},
"throughput": {
"unit": "samples/s",
"value": 5.291780676868695
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2883.268608,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.687432618999992,
0.6960525160000088,
0.6887317850000159
],
"count": 3,
"total": 2.0722169200000167,
"mean": 0.6907389733333389,
"p50": 0.6887317850000159,
"p90": 0.6945883698000103,
"p95": 0.6953204429000095,
"p99": 0.695906101380009,
"stdev": 0.0037944924848870095,
"stdev_": 0.5493381192284125
},
"throughput": {
"unit": "samples/s",
"value": 8.686349303623993
},
"energy": null,
"efficiency": null
}
}
}