IlyasMoutawwakil's picture
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
e4d9947 verified
raw
history blame
7.69 kB
{
"config": {
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.1+rocm6.1",
"_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": "5",
"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": "0.34.0",
"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": 1630.162944,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 2497.708032,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7804230346679688,
"mean": 0.15608460693359377,
"stdev": 0.22219384015324273,
"p50": 0.044059043884277345,
"p90": 0.3795432189941407,
"p95": 0.4900016815185546,
"p99": 0.5783684515380859,
"values": [
0.6004601440429688,
0.048167831420898435,
0.044059043884277345,
0.04392928695678711,
0.04380672836303711
]
},
"throughput": {
"unit": "samples/s",
"value": 64.06781678512668
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1630.162944,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 2497.708032,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6486279754638672,
"mean": 0.3243139877319336,
"stdev": 0.2761461563110352,
"p50": 0.3243139877319336,
"p90": 0.5452309127807617,
"p95": 0.5728455284118652,
"p99": 0.594937220916748,
"values": [
0.6004601440429688,
0.048167831420898435
]
},
"throughput": {
"unit": "samples/s",
"value": 12.333726423499987
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1630.162944,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 2497.708032,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.13179505920410156,
"mean": 0.04393168640136719,
"stdev": 0.00010302135236736913,
"p50": 0.04392928695678711,
"p90": 0.0440330924987793,
"p95": 0.04404606819152832,
"p99": 0.04405644874572754,
"values": [
0.044059043884277345,
0.04392928695678711,
0.04380672836303711
]
},
"throughput": {
"unit": "samples/s",
"value": 136.57568127895212
},
"energy": null,
"efficiency": null
}
}
}