IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
b6c0895
verified
{ | |
"config": { | |
"name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.5.1+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": 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": 16757.342208, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.15", | |
"optimum_benchmark_version": "0.5.0.dev0", | |
"optimum_benchmark_commit": "78351930eda4599a64ff2da35e08ab39722c146a", | |
"transformers_version": "4.46.3", | |
"transformers_commit": null, | |
"accelerate_version": "1.1.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.31.0", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.11", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
}, | |
"print_report": true, | |
"log_report": true | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2909.523968, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.8377412009999716, | |
0.7360272379999628, | |
0.7313546490000249, | |
0.7299971639999967, | |
0.7409206730000051 | |
], | |
"count": 5, | |
"total": 3.776040924999961, | |
"mean": 0.7552081849999922, | |
"p50": 0.7360272379999628, | |
"p90": 0.799012989799985, | |
"p95": 0.8183770953999783, | |
"p99": 0.833868379879973, | |
"stdev": 0.04144472756958241, | |
"stdev_": 5.48785465951787 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 13.241381911135012 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 0.00015432075182222036, | |
"ram": 6.450520059759803e-06, | |
"gpu": 0, | |
"total": 0.00016077127188198016 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 62200.1672496617 | |
} | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2909.523968, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.8377412009999716, | |
0.7360272379999628 | |
], | |
"count": 2, | |
"total": 1.5737684389999345, | |
"mean": 0.7868842194999672, | |
"p50": 0.7868842194999672, | |
"p90": 0.8275698046999708, | |
"p95": 0.8326555028499711, | |
"p99": 0.8367240613699716, | |
"stdev": 0.050856981500004395, | |
"stdev_": 6.463083162643918 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 5.083339963968062 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2909.523968, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.7313546490000249, | |
0.7299971639999967, | |
0.7409206730000051 | |
], | |
"count": 3, | |
"total": 2.2022724860000267, | |
"mean": 0.7340908286666755, | |
"p50": 0.7313546490000249, | |
"p90": 0.7390074682000091, | |
"p95": 0.739964070600007, | |
"p99": 0.7407293525200055, | |
"stdev": 0.004861122750590336, | |
"stdev_": 0.6621963605538517 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 8.173375508447315 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |