IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e761ac0
verified
{ | |
"config": { | |
"name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "multiple-choice", | |
"library": "transformers", | |
"model_type": "roberta", | |
"model": "FacebookAI/roberta-base", | |
"processor": "FacebookAI/roberta-base", | |
"device": "cuda", | |
"device_ids": "6", | |
"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": true, | |
"device_isolation_action": "warn", | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 128, | |
"cpu_ram_mb": 1082014.482432, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.15.0-122-generic-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]" | |
], | |
"gpu_count": 8, | |
"gpu_vram_mb": 549621596160, | |
"optimum_benchmark_version": "0.5.0", | |
"optimum_benchmark_commit": null, | |
"transformers_version": "4.45.1", | |
"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": "0.13.0", | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1333.108736, | |
"max_global_vram": 68702.69952, | |
"max_process_vram": 305881.645056, | |
"max_reserved": 2707.423232, | |
"max_allocated": 2497.88416 | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.5951668701171875, | |
0.04411703872680664, | |
0.042950321197509765, | |
0.042980079650878904, | |
0.04318920135498047 | |
], | |
"count": 5, | |
"total": 0.7684035110473633, | |
"mean": 0.15368070220947266, | |
"p50": 0.04318920135498047, | |
"p90": 0.37474693756103516, | |
"p95": 0.4849569038391112, | |
"p99": 0.5731248768615722, | |
"stdev": 0.22074349353245942, | |
"stdev_": 143.6377439449604 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 65.06997857395015 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1333.108736, | |
"max_global_vram": 68702.69952, | |
"max_process_vram": 305881.645056, | |
"max_reserved": 2707.423232, | |
"max_allocated": 2497.88416 | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.5951668701171875, | |
0.04411703872680664 | |
], | |
"count": 2, | |
"total": 0.6392839088439941, | |
"mean": 0.31964195442199705, | |
"p50": 0.31964195442199705, | |
"p90": 0.5400618869781494, | |
"p95": 0.5676143785476684, | |
"p99": 0.5896563718032837, | |
"stdev": 0.27552491569519044, | |
"stdev_": 86.19798242487202 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 12.514001821923314 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1333.108736, | |
"max_global_vram": 68702.69952, | |
"max_process_vram": 305881.645056, | |
"max_reserved": 2707.423232, | |
"max_allocated": 2497.88416 | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.042950321197509765, | |
0.042980079650878904, | |
0.04318920135498047 | |
], | |
"count": 3, | |
"total": 0.12911960220336915, | |
"mean": 0.043039867401123054, | |
"p50": 0.042980079650878904, | |
"p90": 0.04314737701416016, | |
"p95": 0.043168289184570316, | |
"p99": 0.04318501892089844, | |
"stdev": 0.00010629162311850504, | |
"stdev_": 0.2469608517328553 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 139.40563394587596 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |