IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
bed6d36
verified
{ | |
"config": { | |
"name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "multiple-choice", | |
"model": "FacebookAI/roberta-base", | |
"library": "transformers", | |
"device": "cpu", | |
"device_ids": null, | |
"seed": 42, | |
"inter_op_num_threads": null, | |
"intra_op_num_threads": null, | |
"hub_kwargs": { | |
"revision": "main", | |
"force_download": false, | |
"local_files_only": false, | |
"trust_remote_code": false | |
}, | |
"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", | |
"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", | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16757.346304, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.2.0", | |
"optimum_benchmark_commit": "3b17890e550ffe969ad275a1b08288c6015397d9", | |
"transformers_version": "4.40.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.30.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.27.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "0.9.16", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2844.81536, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 3.734923993000052, | |
"mean": 0.7469847986000104, | |
"stdev": 0.04664104752274838, | |
"p50": 0.7278950590000193, | |
"p90": 0.7966781362000006, | |
"p95": 0.8181051745999923, | |
"p99": 0.8352468053199857, | |
"values": [ | |
0.839532212999984, | |
0.7278950590000193, | |
0.7185139160000062, | |
0.7323970210000255, | |
0.7165857840000172 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 13.387153284433465 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2844.81536, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 1.5674272720000033, | |
"mean": 0.7837136360000017, | |
"stdev": 0.05581857699998238, | |
"p50": 0.7837136360000017, | |
"p90": 0.8283684975999875, | |
"p95": 0.8339503552999858, | |
"p99": 0.8384158414599844, | |
"values": [ | |
0.839532212999984, | |
0.7278950590000193 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 5.103905069733904 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2844.81536, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 2.167496721000049, | |
"mean": 0.7224989070000163, | |
"stdev": 0.007043148861138209, | |
"p50": 0.7185139160000062, | |
"p90": 0.7296204000000216, | |
"p95": 0.7310087105000236, | |
"p99": 0.7321193589000251, | |
"values": [ | |
0.7185139160000062, | |
0.7323970210000255, | |
0.7165857840000172 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 8.304510832982983 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |