IlyasMoutawwakil's picture
Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
8d70891 verified
raw
history blame
7.71 kB
{
"config": {
"name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "4",
"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 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"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": "0.30.1",
"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": 1139.204096,
"max_global_vram": 3149.02528,
"max_process_vram": 308019.453952,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7984511528015138,
"mean": 0.15969023056030276,
"stdev": 0.22487924887821192,
"p50": 0.047225616455078126,
"p90": 0.384778337097168,
"p95": 0.4971133506774901,
"p99": 0.586981361541748,
"values": [
0.6094483642578125,
0.04777329635620117,
0.04707889556884766,
0.04692498016357422,
0.047225616455078126
]
},
"throughput": {
"unit": "samples/s",
"value": 62.621238412100396
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1139.204096,
"max_global_vram": 3149.02528,
"max_process_vram": 308019.453952,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6572216606140137,
"mean": 0.32861083030700683,
"stdev": 0.2808375339508057,
"p50": 0.32861083030700683,
"p90": 0.5532808574676513,
"p95": 0.5813646108627318,
"p99": 0.6038316135787963,
"values": [
0.6094483642578125,
0.04777329635620117
]
},
"throughput": {
"unit": "samples/s",
"value": 12.172453343254006
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1139.204096,
"max_global_vram": 3149.02528,
"max_process_vram": 308019.453952,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.14122949218750003,
"mean": 0.04707649739583334,
"stdev": 0.00012274596630890456,
"p50": 0.04707889556884766,
"p90": 0.04719627227783203,
"p95": 0.04721094436645508,
"p99": 0.04722268203735352,
"values": [
0.04707889556884766,
0.04692498016357422,
0.047225616455078126
]
},
"throughput": {
"unit": "samples/s",
"value": 127.45213284561501
},
"energy": null,
"efficiency": null
}
}
}