IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
8039684
verified
{ | |
"config": { | |
"name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.2.2+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-classification", | |
"model": "FacebookAI/roberta-base", | |
"library": "transformers", | |
"device": "cuda", | |
"device_ids": "0", | |
"seed": 42, | |
"inter_op_num_threads": null, | |
"intra_op_num_threads": null, | |
"hub_kwargs": { | |
"revision": "main", | |
"force_download": false, | |
"local_files_only": false, | |
"trust_remote_code": false | |
}, | |
"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", | |
"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", | |
"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": "0.2.0", | |
"optimum_benchmark_commit": "4aa72a2fd35e7d46a674935ffaf335b1c0795600", | |
"transformers_version": "4.40.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.30.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.27.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "0.9.16", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1123.75808, | |
"max_global_vram": 3155.427328, | |
"max_process_vram": 323300.92544, | |
"max_reserved": 2707.423232, | |
"max_allocated": 2497.900032 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 0.6843122901916504, | |
"mean": 0.13686245803833008, | |
"stdev": 0.18955155666623033, | |
"p50": 0.04194554901123047, | |
"p90": 0.32673077545166024, | |
"p95": 0.4213477180480957, | |
"p99": 0.4970412721252442, | |
"values": [ | |
0.5159646606445313, | |
0.042879947662353514, | |
0.04173018646240234, | |
0.04194554901123047, | |
0.04179194641113281 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 73.0660558295641 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1123.75808, | |
"max_global_vram": 3155.427328, | |
"max_process_vram": 323300.92544, | |
"max_reserved": 2707.423232, | |
"max_allocated": 2497.900032 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 0.5588446083068848, | |
"mean": 0.2794223041534424, | |
"stdev": 0.23654235649108887, | |
"p50": 0.2794223041534424, | |
"p90": 0.46865618934631353, | |
"p95": 0.4923104249954224, | |
"p99": 0.5112338135147095, | |
"values": [ | |
0.5159646606445313, | |
0.042879947662353514 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 14.315249500639126 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1123.75808, | |
"max_global_vram": 3155.427328, | |
"max_process_vram": 323300.92544, | |
"max_reserved": 2707.423232, | |
"max_allocated": 2497.900032 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 0.12546768188476562, | |
"mean": 0.041822560628255206, | |
"stdev": 9.054715006356091e-05, | |
"p50": 0.04179194641113281, | |
"p90": 0.041914828491210934, | |
"p95": 0.041930188751220704, | |
"p99": 0.041942476959228515, | |
"values": [ | |
0.04173018646240234, | |
0.04194554901123047, | |
0.04179194641113281 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 143.46323873690355 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |