IlyasMoutawwakil's picture
Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
1fe00b3 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": "494df68bab4c5aa3df2cebc922b7b34380652b84",
"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": 2855.981056,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.0292838280000183,
0.7008838840000067,
0.7091821249999839,
0.6972805650000282,
0.6877276060000099
],
"count": 5,
"total": 3.824358008000047,
"mean": 0.7648716016000094,
"p50": 0.7008838840000067,
"p90": 0.9012431468000046,
"p95": 0.9652634874000113,
"p99": 1.0164797598800168,
"stdev": 0.1323852828400837,
"stdev_": 17.308170752208778
},
"throughput": {
"unit": "samples/s",
"value": 13.074089793739672
},
"energy": {
"unit": "kWh",
"cpu": 0.0001562118395444442,
"ram": 6.52964560196846e-06,
"gpu": 0,
"total": 0.00016274148514641267
},
"efficiency": {
"unit": "samples/kWh",
"value": 61447.14724093466
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2855.981056,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.0292838280000183,
0.7008838840000067
],
"count": 2,
"total": 1.730167712000025,
"mean": 0.8650838560000125,
"p50": 0.8650838560000125,
"p90": 0.9964438336000171,
"p95": 1.0128638308000177,
"p99": 1.0259998285600183,
"stdev": 0.1641999720000058,
"stdev_": 18.980815658638697
},
"throughput": {
"unit": "samples/s",
"value": 4.623829207142137
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2855.981056,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7091821249999839,
0.6972805650000282,
0.6877276060000099
],
"count": 3,
"total": 2.094190296000022,
"mean": 0.6980634320000073,
"p50": 0.6972805650000282,
"p90": 0.7068018129999928,
"p95": 0.7079919689999883,
"p99": 0.7089440937999848,
"stdev": 0.00877624661362716,
"stdev_": 1.2572276689071813
},
"throughput": {
"unit": "samples/s",
"value": 8.595207433813748
},
"energy": null,
"efficiency": null
}
}
}