IlyasMoutawwakil's picture
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
3ef0839 verified
raw
history blame
7.24 kB
{
"config": {
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": false
},
"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-5.10.223-212.873.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1282.142208,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.5055691375732422,
"mean": 0.10111382751464844,
"stdev": 0.11520169941864855,
"p50": 0.04329574584960937,
"p90": 0.21701172637939453,
"p95": 0.2742606697082519,
"p99": 0.32005982437133784,
"values": [
0.33150961303710935,
0.04526489639282227,
0.04329574584960937,
0.04252262496948242,
0.04297625732421875
]
},
"throughput": {
"unit": "samples/s",
"value": 98.89844194209039
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1282.142208,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.3767745094299316,
"mean": 0.1883872547149658,
"stdev": 0.14312235832214354,
"p50": 0.1883872547149658,
"p90": 0.30288514137268063,
"p95": 0.317197377204895,
"p99": 0.3286471658706665,
"values": [
0.33150961303710935,
0.04526489639282227
]
},
"throughput": {
"unit": "samples/s",
"value": 21.232858911034565
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1282.142208,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.12879462814331055,
"mean": 0.04293154271443685,
"stdev": 0.00031720500318461716,
"p50": 0.04297625732421875,
"p90": 0.04323184814453125,
"p95": 0.04326379699707031,
"p99": 0.04328935607910156,
"values": [
0.04329574584960937,
0.04252262496948242,
0.04297625732421875
]
},
"throughput": {
"unit": "samples/s",
"value": 139.75738165081924
},
"energy": null,
"efficiency": null
}
}
}