IlyasMoutawwakil's picture
Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
c8de2c7 verified
raw
history blame
7.21 kB
{
"config": {
"name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": true,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
"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": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1119.657984,
"max_global_vram": 3149.02528,
"max_process_vram": 306218.676224,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7095965995788575,
"mean": 0.1419193199157715,
"stdev": 0.19703614026001973,
"p50": 0.043415538787841795,
"p90": 0.33927602844238286,
"p95": 0.4376333145141601,
"p99": 0.516319143371582,
"values": [
0.5359906005859375,
0.04420417022705078,
0.043415538787841795,
0.04305250549316406,
0.042933784484863284
]
},
"throughput": {
"unit": "samples/s",
"value": 70.46256990193412
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1119.657984,
"max_global_vram": 3149.02528,
"max_process_vram": 306218.676224,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.5801947708129883,
"mean": 0.29009738540649416,
"stdev": 0.24589321517944335,
"p50": 0.29009738540649416,
"p90": 0.48681195755004886,
"p95": 0.5114012790679932,
"p99": 0.5310727362823486,
"values": [
0.5359906005859375,
0.04420417022705078
]
},
"throughput": {
"unit": "samples/s",
"value": 13.788473117036427
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1119.657984,
"max_global_vram": 3149.02528,
"max_process_vram": 306218.676224,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.12940182876586914,
"mean": 0.04313394292195638,
"stdev": 0.0002049322541976668,
"p50": 0.04305250549316406,
"p90": 0.04334293212890625,
"p95": 0.04337923545837402,
"p99": 0.04340827812194824,
"values": [
0.043415538787841795,
0.04305250549316406,
0.042933784484863284
]
},
"throughput": {
"unit": "samples/s",
"value": 139.1015889935217
},
"energy": null,
"efficiency": null
}
}
}