IlyasMoutawwakil's picture
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
059fb4a verified
raw
history blame
7.22 kB
{
"config": {
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"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": {},
"hub_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": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.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": "0.3.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1093.34528,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.8340171661376952,
"mean": 0.16680343322753904,
"stdev": 0.24822463316172644,
"p50": 0.04264857482910156,
"p90": 0.4153444259643555,
"p95": 0.5392981895446776,
"p99": 0.6384612004089355,
"values": [
0.663251953125,
0.043483135223388675,
0.0424089584350586,
0.04264857482910156,
0.042224544525146485
]
},
"throughput": {
"unit": "samples/s",
"value": 59.95080440795755
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1093.34528,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.7067350883483886,
"mean": 0.3533675441741943,
"stdev": 0.30988440895080566,
"p50": 0.3533675441741943,
"p90": 0.6012750713348388,
"p95": 0.6322635122299194,
"p99": 0.6570542649459838,
"values": [
0.663251953125,
0.043483135223388675
]
},
"throughput": {
"unit": "samples/s",
"value": 11.319658712143013
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1093.34528,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.12728207778930664,
"mean": 0.04242735926310221,
"stdev": 0.00017359794069933825,
"p50": 0.0424089584350586,
"p90": 0.04260065155029297,
"p95": 0.042624613189697264,
"p99": 0.0426437825012207,
"values": [
0.0424089584350586,
0.04264857482910156,
0.042224544525146485
]
},
"throughput": {
"unit": "samples/s",
"value": 141.41818166887464
},
"energy": null,
"efficiency": null
}
}
}