IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
3780d3e
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", | |
"library": "transformers", | |
"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": {}, | |
"hub_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", | |
"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": 16757.354496, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.2.0", | |
"optimum_benchmark_commit": "466c44af5d8cf99af048e74ddb3b2f8ec6606263", | |
"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": "1.0.3", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2832.03584, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 3.7270803439999725, | |
"mean": 0.7454160687999944, | |
"stdev": 0.04820042616448659, | |
"p50": 0.7273326350000104, | |
"p90": 0.7961622607999971, | |
"p95": 0.8186283424000009, | |
"p99": 0.8366012076800041, | |
"values": [ | |
0.8410944240000049, | |
0.7273326350000104, | |
0.7287640159999853, | |
0.7143364810000037, | |
0.7155527879999681 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 13.415326578750129 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2832.03584, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 1.5684270590000153, | |
"mean": 0.7842135295000077, | |
"stdev": 0.056880894499997225, | |
"p50": 0.7842135295000077, | |
"p90": 0.8297182451000055, | |
"p95": 0.8354063345500051, | |
"p99": 0.8399568061100049, | |
"values": [ | |
0.8410944240000049, | |
0.7273326350000104 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 5.100651607669007 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2832.03584, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 2.158653284999957, | |
"mean": 0.7195510949999857, | |
"stdev": 0.006533415936232021, | |
"p50": 0.7155527879999681, | |
"p90": 0.7261217703999818, | |
"p95": 0.7274428931999836, | |
"p99": 0.728499791439985, | |
"values": [ | |
0.7287640159999853, | |
0.7143364810000037, | |
0.7155527879999681 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 8.338532234462264 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |