IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
70803c4
verified
{ | |
"config": { | |
"name": "cpu_training_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-classification", | |
"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": 16766.767104, | |
"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": "d070104543478b722db56ba828611524c5fbdbb5", | |
"transformers_version": "4.45.1", | |
"transformers_commit": null, | |
"accelerate_version": "0.34.2", | |
"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 | |
} | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2851.274752, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 3.093990560000009, | |
"mean": 0.6187981120000018, | |
"stdev": 0.04263731248574673, | |
"p50": 0.5998916340000164, | |
"p90": 0.6641107263999857, | |
"p95": 0.6838455791999764, | |
"p99": 0.6996334614399689, | |
"values": [ | |
0.703580431999967, | |
0.5998916340000164, | |
0.592974168000012, | |
0.5926381579999997, | |
0.6049061680000136 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 16.160359584290347 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 0.00013247197343333332, | |
"ram": 5.540329281951932e-06, | |
"gpu": 0, | |
"total": 0.00013801230271528526 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 72457.30853886022 | |
} | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2851.274752, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 1.3034720659999834, | |
"mean": 0.6517360329999917, | |
"stdev": 0.05184439899997528, | |
"p50": 0.6517360329999917, | |
"p90": 0.693211552199972, | |
"p95": 0.6983959920999695, | |
"p99": 0.7025435440199675, | |
"values": [ | |
0.703580431999967, | |
0.5998916340000164 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 6.137454118637094 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2851.274752, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 1.7905184940000254, | |
"mean": 0.5968394980000085, | |
"stdev": 0.005705646288064979, | |
"p50": 0.592974168000012, | |
"p90": 0.6025197680000133, | |
"p95": 0.6037129680000135, | |
"p99": 0.6046675280000136, | |
"values": [ | |
0.592974168000012, | |
0.5926381579999997, | |
0.6049061680000136 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 10.052953968538985 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |