IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
2dfba6a
verified
{ | |
"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": 16757.338112, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.4.0", | |
"optimum_benchmark_commit": "391e9edbc7753b839aaebb1598c0d4977058930d", | |
"transformers_version": "4.44.0", | |
"transformers_commit": null, | |
"accelerate_version": "0.33.0", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.0", | |
"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": 2864.492544, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 3.799057282999968, | |
"mean": 0.7598114565999936, | |
"stdev": 0.04849184252802687, | |
"p50": 0.7396166990000097, | |
"p90": 0.8104262127999959, | |
"p95": 0.8333541723999929, | |
"p99": 0.8516965400799904, | |
"values": [ | |
0.8562821319999898, | |
0.7396166990000097, | |
0.7272539420000044, | |
0.7342621759999588, | |
0.7416423340000051 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 13.161159802391014 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2864.492544, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 1.5958988309999995, | |
"mean": 0.7979494154999998, | |
"stdev": 0.058332716499990056, | |
"p50": 0.7979494154999998, | |
"p90": 0.8446155886999918, | |
"p95": 0.8504488603499908, | |
"p99": 0.85511547766999, | |
"values": [ | |
0.8562821319999898, | |
0.7396166990000097 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 5.01284908830164 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2864.492544, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 2.2031584519999683, | |
"mean": 0.7343861506666561, | |
"stdev": 0.005874690537943732, | |
"p50": 0.7342621759999588, | |
"p90": 0.7401663023999958, | |
"p95": 0.7409043182000005, | |
"p99": 0.7414947308400042, | |
"values": [ | |
0.7272539420000044, | |
0.7342621759999588, | |
0.7416423340000051 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 8.170088712257659 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |