IlyasMoutawwakil's picture
Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
fc829f7 verified
raw
history blame
7.72 kB
{
"config": {
"name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "0",
"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": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": "1.22.0",
"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": 1303.003136,
"max_global_vram": 3386.376192,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"values": [
0.33117901611328127,
0.050874366760253906,
0.04981862258911133,
0.04969062423706055,
0.05019852828979492
],
"count": 5,
"total": 0.531761157989502,
"mean": 0.10635223159790039,
"p50": 0.05019852828979492,
"p90": 0.21905715637207035,
"p95": 0.27511808624267575,
"p99": 0.31996683013916016,
"stdev": 0.11241414645315512,
"stdev_": 105.69984735080482
},
"throughput": {
"unit": "samples/s",
"value": 94.02717601458794
},
"energy": {
"unit": "kWh",
"cpu": 1.0210472779160936e-05,
"ram": 5.5765662307320285e-06,
"gpu": 1.560390137189671e-05,
"total": 3.139094038178967e-05
},
"efficiency": {
"unit": "samples/kWh",
"value": 318563.250363826
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1303.003136,
"max_global_vram": 3386.376192,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"values": [
0.33117901611328127,
0.050874366760253906
],
"count": 2,
"total": 0.3820533828735352,
"mean": 0.1910266914367676,
"p50": 0.1910266914367676,
"p90": 0.30314855117797856,
"p95": 0.31716378364562986,
"p99": 0.32837596961975096,
"stdev": 0.14015232467651367,
"stdev_": 73.36792760340823
},
"throughput": {
"unit": "samples/s",
"value": 20.939482173484922
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1303.003136,
"max_global_vram": 3386.376192,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"values": [
0.04981862258911133,
0.04969062423706055,
0.05019852828979492
],
"count": 3,
"total": 0.1497077751159668,
"mean": 0.04990259170532227,
"p50": 0.04981862258911133,
"p90": 0.050122547149658206,
"p95": 0.05016053771972656,
"p99": 0.05019093017578125,
"stdev": 0.00021568455524049524,
"stdev_": 0.43221112946222356
},
"throughput": {
"unit": "samples/s",
"value": 120.234236238277
},
"energy": null,
"efficiency": null
}
}
}