IlyasMoutawwakil's picture
Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
436e216 verified
raw
history blame
7.07 kB
{
"config": {
"name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": 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-6.5.0-1024-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "aa06eb5e1bf688ecb03b7568e9e816d4af962b61",
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"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": 2874.073088,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.7985349499999757,
"mean": 0.7597069899999951,
"stdev": 0.054755521842409456,
"p50": 0.7381403109999951,
"p90": 0.8178716925999993,
"p95": 0.8430480978000104,
"p99": 0.8631892219600195,
"values": [
0.8682245030000217,
0.7285886930000061,
0.7423424769999656,
0.7381403109999951,
0.7212389659999872
]
},
"throughput": {
"unit": "samples/s",
"value": 13.16296958120665
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2874.073088,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.5968131960000278,
"mean": 0.7984065980000139,
"stdev": 0.06981790500000784,
"p50": 0.7984065980000139,
"p90": 0.8542609220000201,
"p95": 0.8612427125000209,
"p99": 0.8668281449000216,
"values": [
0.8682245030000217,
0.7285886930000061
]
},
"throughput": {
"unit": "samples/s",
"value": 5.009978637476053
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2874.073088,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 2.201721753999948,
"mean": 0.7339072513333159,
"stdev": 0.009120622776170569,
"p50": 0.7381403109999951,
"p90": 0.7415020437999715,
"p95": 0.7419222603999686,
"p99": 0.7422584336799661,
"values": [
0.7423424769999656,
0.7381403109999951,
0.7212389659999872
]
},
"throughput": {
"unit": "samples/s",
"value": 8.175419971801045
},
"energy": null,
"efficiency": null
}
}
}