IlyasMoutawwakil's picture
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
b215d65 verified
raw
history blame
7.77 kB
{
"config": {
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.5.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"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": 66697.248768,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.228-219.884.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.dev0",
"optimum_benchmark_commit": null,
"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": "0.13.2",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1306.9312,
"max_global_vram": 3176.660992,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"values": [
0.33623141479492186,
0.04430233764648438,
0.04342169570922851,
0.043660289764404295,
0.04308377456665039
],
"count": 5,
"total": 0.5106995124816894,
"mean": 0.10213990249633789,
"p50": 0.043660289764404295,
"p90": 0.21945978393554688,
"p95": 0.27784559936523434,
"p99": 0.32455425170898433,
"stdev": 0.11704643454425888,
"stdev_": 114.59422976094524
},
"throughput": {
"unit": "samples/s",
"value": 97.90492995975337
},
"energy": {
"unit": "kWh",
"cpu": 8.331739241666843e-06,
"ram": 4.546388419613395e-06,
"gpu": 1.4729734005999862e-05,
"total": 2.7607861667280098e-05
},
"efficiency": {
"unit": "samples/kWh",
"value": 362215.66597646574
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1306.9312,
"max_global_vram": 3176.660992,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"values": [
0.33623141479492186,
0.04430233764648438
],
"count": 2,
"total": 0.38053375244140625,
"mean": 0.19026687622070312,
"p50": 0.19026687622070312,
"p90": 0.3070385070800781,
"p95": 0.3216349609375,
"p99": 0.33331212402343746,
"stdev": 0.14596453857421876,
"stdev_": 76.7156856062034
},
"throughput": {
"unit": "samples/s",
"value": 21.023102283763443
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1306.9312,
"max_global_vram": 3176.660992,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"values": [
0.04342169570922851,
0.043660289764404295,
0.04308377456665039
],
"count": 3,
"total": 0.13016576004028318,
"mean": 0.0433885866800944,
"p50": 0.04342169570922851,
"p90": 0.04361257095336914,
"p95": 0.043636430358886716,
"p99": 0.04365551788330078,
"stdev": 0.00023652286593894492,
"stdev_": 0.5451269193966526
},
"throughput": {
"unit": "samples/s",
"value": 138.28521413334374
},
"energy": null,
"efficiency": null
}
}
}