IlyasMoutawwakil's picture
Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
1abac62 verified
raw
history blame
7.93 kB
{
"config": {
"name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082014.482432,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-122-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": "0.5.0.dev0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.13.0",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1326.764032,
"max_global_vram": 68702.69952,
"max_process_vram": 268712.402944,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"values": [
0.6661585083007813,
0.04578881454467774,
0.04395314025878906,
0.044088821411132816,
0.04358482360839844
],
"count": 5,
"total": 0.8435741081237793,
"mean": 0.16871482162475587,
"p50": 0.044088821411132816,
"p90": 0.4180106307983399,
"p95": 0.5420845695495604,
"p99": 0.6413437205505371,
"stdev": 0.24872300179137827,
"stdev_": 147.42214074384714
},
"throughput": {
"unit": "samples/s",
"value": 59.27161528369645
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1326.764032,
"max_global_vram": 68702.69952,
"max_process_vram": 268712.402944,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"values": [
0.6661585083007813,
0.04578881454467774
],
"count": 2,
"total": 0.711947322845459,
"mean": 0.3559736614227295,
"p50": 0.3559736614227295,
"p90": 0.604121538925171,
"p95": 0.6351400236129761,
"p99": 0.6599548113632202,
"stdev": 0.31018484687805176,
"stdev_": 87.13702177805168
},
"throughput": {
"unit": "samples/s",
"value": 11.236786407210838
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1326.764032,
"max_global_vram": 68702.69952,
"max_process_vram": 268712.402944,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"values": [
0.04395314025878906,
0.044088821411132816,
0.04358482360839844
],
"count": 3,
"total": 0.1316267852783203,
"mean": 0.04387559509277344,
"p50": 0.04395314025878906,
"p90": 0.04406168518066406,
"p95": 0.04407525329589844,
"p99": 0.04408610778808594,
"stdev": 0.00021293721432942493,
"stdev_": 0.4853204016473771
},
"throughput": {
"unit": "samples/s",
"value": 136.75028195773086
},
"energy": null,
"efficiency": null
}
}
}