IlyasMoutawwakil's picture
Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
21208e9 verified
raw
history blame
7.81 kB
{
"config": {
"name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+rocm5.7",
"_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": "cuda",
"device_ids": "6",
"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": "warn",
"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": "0.34.2",
"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": "0.12.0",
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1302.331392,
"max_global_vram": 68702.69952,
"max_process_vram": 435373.34272,
"max_reserved": 3919.577088,
"max_allocated": 3695.353344
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.938656578063965,
"mean": 0.187731315612793,
"stdev": 0.22764322306224383,
"p50": 0.07314456939697266,
"p90": 0.41675383300781255,
"p95": 0.5298786254882812,
"p99": 0.6203784594726562,
"values": [
0.64300341796875,
0.07314456939697266,
0.0723612060546875,
0.07276792907714844,
0.07737945556640625
]
},
"throughput": {
"unit": "samples/s",
"value": 53.26761796431233
},
"energy": null,
"efficiency": null,
"measures": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1302.331392,
"max_global_vram": 68702.69952,
"max_process_vram": 435373.34272,
"max_reserved": 3919.577088,
"max_allocated": 3695.353344
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.7161479873657227,
"mean": 0.35807399368286136,
"stdev": 0.2849294242858887,
"p50": 0.35807399368286136,
"p90": 0.5860175331115723,
"p95": 0.6145104755401611,
"p99": 0.6373048294830322,
"values": [
0.64300341796875,
0.07314456939697266
]
},
"throughput": {
"unit": "samples/s",
"value": 11.170875491010152
},
"energy": null,
"efficiency": null,
"measures": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1302.331392,
"max_global_vram": 68702.69952,
"max_process_vram": 435373.34272,
"max_reserved": 3919.577088,
"max_allocated": 3695.353344
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.2225085906982422,
"mean": 0.0741695302327474,
"stdev": 0.0022758253286809505,
"p50": 0.07276792907714844,
"p90": 0.0764571502685547,
"p95": 0.07691830291748047,
"p99": 0.0772872250366211,
"values": [
0.0723612060546875,
0.07276792907714844,
0.07737945556640625
]
},
"throughput": {
"unit": "samples/s",
"value": 80.89575302919843
},
"energy": null,
"efficiency": null,
"measures": null
}
}
}