IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
fb18958
verified
{ | |
"config": { | |
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"library": "transformers", | |
"model_type": "bert", | |
"model": "google-bert/bert-base-uncased", | |
"processor": "google-bert/bert-base-uncased", | |
"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": 16766.763008, | |
"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": "da7a7adc61c6bf2e65157851160ed1216b6a5c9b", | |
"transformers_version": "4.45.0", | |
"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": 2499.7888, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 2.9168569369999204, | |
"mean": 0.5833713873999841, | |
"stdev": 0.04864109912237477, | |
"p50": 0.5574514850000014, | |
"p90": 0.6349008005999849, | |
"p95": 0.6576152187999923, | |
"p99": 0.6757867533599983, | |
"values": [ | |
0.6803296369999998, | |
0.5561044929999639, | |
0.5574514850000014, | |
0.5667575459999625, | |
0.5562137759999928 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 17.14173889221546 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 0.0001251520268444447, | |
"ram": 5.234249201248057e-06, | |
"gpu": 0, | |
"total": 0.00013038627604569276 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 76695.18835322504 | |
} | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2499.7888, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 1.2364341299999637, | |
"mean": 0.6182170649999819, | |
"stdev": 0.06211257200001796, | |
"p50": 0.6182170649999819, | |
"p90": 0.6679071225999962, | |
"p95": 0.674118379799998, | |
"p99": 0.6790873855599995, | |
"values": [ | |
0.6803296369999998, | |
0.5561044929999639 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 6.470219323370048 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2499.7888, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 1.6804228069999567, | |
"mean": 0.5601409356666522, | |
"stdev": 0.00470585664318602, | |
"p50": 0.5574514850000014, | |
"p90": 0.5648963337999703, | |
"p95": 0.5658269398999665, | |
"p99": 0.5665714247799634, | |
"values": [ | |
0.5574514850000014, | |
0.5667575459999625, | |
0.5562137759999928 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 10.711589919524618 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |