IlyasMoutawwakil's picture
Upload cpu_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
d4d8e3f verified
raw
history blame
7.57 kB
{
"config": {
"name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"device": "cpu",
"device_ids": null,
"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": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "c1918e1b0948d4915a69908fd778b3f53a5aa600",
"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": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 4412.235776,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.4853495369999905,
1.2196285169999896,
1.2612254599999915,
1.2708355429999756,
1.2416159969999967
],
"count": 5,
"total": 6.478655053999944,
"mean": 1.2957310107999889,
"p50": 1.2612254599999915,
"p90": 1.3995439393999844,
"p95": 1.4424467381999875,
"p99": 1.47676897723999,
"stdev": 0.0964216024679176,
"stdev_": 7.4414829670848555
},
"throughput": {
"unit": "samples/s",
"value": 7.717651207426119
},
"energy": {
"unit": "kWh",
"cpu": 0.0002654429463777771,
"ram": 1.1102072833288733e-05,
"gpu": 0,
"total": 0.00027654501921106585
},
"efficiency": {
"unit": "samples/kWh",
"value": 36160.4776991762
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 4412.235776,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.4853495369999905,
1.2196285169999896
],
"count": 2,
"total": 2.70497805399998,
"mean": 1.35248902699999,
"p50": 1.35248902699999,
"p90": 1.4587774349999905,
"p95": 1.4720634859999904,
"p99": 1.4826923267999905,
"stdev": 0.13286051000000043,
"stdev_": 9.823407609798036
},
"throughput": {
"unit": "samples/s",
"value": 2.957510131429724
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 4412.235776,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.2612254599999915,
1.2708355429999756,
1.2416159969999967
],
"count": 3,
"total": 3.7736769999999638,
"mean": 1.2578923333333212,
"p50": 1.2612254599999915,
"p90": 1.2689135263999787,
"p95": 1.2698745346999771,
"p99": 1.2706433413399758,
"stdev": 0.012159434393185446,
"stdev_": 0.9666514431297827
},
"throughput": {
"unit": "samples/s",
"value": 4.769883590991008
},
"energy": null,
"efficiency": null
}
}
}