IlyasMoutawwakil's picture
Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
a5549bd verified
raw
history blame
7.25 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": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"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",
"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": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": "88e73025c13ec1a964328bd3aa8fa3b1b8ab2582",
"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": 1654.484992,
"max_global_vram": 3149.770752,
"max_process_vram": 826054.832128,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7237851676940917,
"mean": 0.14475703353881836,
"stdev": 0.20370785639218375,
"p50": 0.042916805267333984,
"p90": 0.3487621978759766,
"p95": 0.4504670364379882,
"p99": 0.5318309072875976,
"values": [
0.552171875,
0.0436476821899414,
0.042916805267333984,
0.04267616271972656,
0.042372642517089845
]
},
"throughput": {
"unit": "samples/s",
"value": 69.08127194605973
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1654.484992,
"max_global_vram": 3149.770752,
"max_process_vram": 826054.832128,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.5958195571899414,
"mean": 0.2979097785949707,
"stdev": 0.2542620964050293,
"p50": 0.2979097785949707,
"p90": 0.5013194557189942,
"p95": 0.5267456653594971,
"p99": 0.5470866330718994,
"values": [
0.552171875,
0.0436476821899414
]
},
"throughput": {
"unit": "samples/s",
"value": 13.426883866871256
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1654.484992,
"max_global_vram": 3149.770752,
"max_process_vram": 826054.832128,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.1279656105041504,
"mean": 0.042655203501383465,
"stdev": 0.00022264731649476692,
"p50": 0.04267616271972656,
"p90": 0.0428686767578125,
"p95": 0.04289274101257324,
"p99": 0.042911992416381835,
"values": [
0.042916805267333984,
0.04267616271972656,
0.042372642517089845
]
},
"throughput": {
"unit": "samples/s",
"value": 140.66279158193203
},
"energy": null,
"efficiency": null
}
}
}